Graduate AI and Machine Learning Engineer (10980)

Reply; Greater London; On-site; GBP 30,000 - 40,000; Full time

Job summary

A performance marketing agency in Greater London is seeking a Graduate AI and Machine Learning Engineer. You'll design and maintain AI solutions, manage internal systems and data pipelines, and assist in the development of machine learning processes. Ideal candidates should have a degree in a related discipline and experience with Python and cloud platforms. This role offers a unique opportunity to shape the agency's tech journey and requires collaboration across teams. The starting date is February 2026.

Qualifications

• Degree-educated in Computer Science, AI, Data Science, or a related discipline.
• Initial work experience in data engineering or developing AI solutions.
• Practical experience with GCP or AWS cloud platform.

Responsibilities

• Develop applications to support marketing performance.
• Build AI-powered prototypes and applications.
• Manage cloud infrastructure and data pipelines.

Skills

Python

Data handling with Pandas

SQL

Machine Learning frameworks

Git/Github

Cloud platforms (GCP or AWS)

REST APIs

Looker Studio

Education

Degree in Computer Science, AI, or Data Science (min 2.1 grade)

Tools

Docker

Kubernetes

Job description

Graduate AI and Machine Learning Engineer

Threepipe Reply is an award-winning integrated brand performance agency of specialists, working across; media, creative, social, analytics, UX, data science, search marketing and PR. Threepipe offers a rigorous planning framework, proprietary and best in breed technology partners to help consumer and business to business brands make sense of the highly evolving market, media and competitor landscape.

Role overview

As a Graduate AI and ML Engineer, you’ll support the design and build and operational maintenance of applied AI and data engineering solutions that make a real impact across the agency. You’ll work on everything from improving and maintaining our internal systems and data pipelines, to developing AI-powered applications and prototypes for client work. This is a unique opportunity to join at the start of our tech journey and help shape how AI and advanced data engineering transforms our agency. You’ll also assist our team in the design and development of machine learning processes in a variety of client environments. You will support the analysis of client requirements and help generate suitable recommendations. You will help manage the ML lifecycle from data selection and collection, ML model design and creation all the way through to operationalisation and monitoring.

Start date: February 2026

Responsibilities

• Developing new applications to support marketing performance and automation
• Build AI-powered prototypes and applications using LLMs, LangChain, RAG pipelines, and other emerging frameworks.
• Experiment with new AI technologies (e.g. vector databases, embedding models, prompt optimisation, AI agent, Google AI Studio/Gemini) and assess their value to the agency.
• Managing and improving our cloud infrastructure structure and data pipelines; help deploy and manage containerised services.
• Working with our Data Analysts and data team members to better improve our data infrastructure, transformations and reporting flows.
• Support the management of infrastructure and orchestration pipelines needed to automatically train and bring machine learning models to production
• Explore and understand client data in relation to the problem you’re tackling and communicate findings to clients and stakeholders
• Collaborate with non-technical teams to understand business problems and turn them into AI and data solutions.
• Responsible for supporting, managing and maintaining our internal website and applications, including assisting with future migration/modernisation and working with external partners where required

About the candidate

• Degree-educated in Computer Science, Artificial Intelligence, Data Science, or in a related discipline (min 2.1 grade)
• Initial work experience working in relevant role (e.g. data engineering, developing AI solutions, training, evaluating or deploying machine learning models)
• Practical experience with at least one major cloud platform (GCP or AWS) and working knowledge of its database/compute services
• Experience with MySQL and confident SQL skills (e.g., PostgreSQL /BigQuery-style SQL)
• A successful history of manipulating, processing and extracting value from large, disconnected datasets.
• Excellent knowledge of Python and data handing libraries (Python3 and specifically Pandas) including at least one ML framework e.g. Pytorch, Tensorflow and SKLearn as well as initial knowledge of LangChain and RAG.
• Familiarity with DevOps, Git/Github and CI/CD workflows is required and experience with containerisation and deployment using Docker/Kubernetes will be considered a plus
• Comfortable working with REST APIs and integrating platform exports into reporting pipelines
• Experience with Looker Studio, Funnel.io, Supabase, Bolt or similar tools is advantageous
• Basic HTML, PHP, JavaScript; React/Next.js and API development are a plus